Rishabh Sambare, Co-founder of Gale . Previously worked on machine learning at Waabi, energy trading at Tesla, and federated learning at UHN. getty In 2024, we saw a huge influx of generative AI applications in business. In many industries though, like healthcare, finance and law, regulation is often a barrier to progress. In fact, 47% of data leaders in one study said that data privacy is why their companies haven’t yet deployed AI. The promise of differential privacy (DP) is to let companies analyze and train models on swaths of data without exposing any single person’s actual data to the model. It principally accomplishes this by adding a little bit of "noise" to every data point, perturbing them enough to maintain anonymity. I previously worked with privacy-preserving technologies like […]
Original web page at www.forbes.com
